Xueguang Shao
chinfo.nankai.edu.cn
0000-0001-5027-4382
315 papers found
Refreshing results…
Thermodynamic Insights into the Dynamic Switching of a Cyclodextrin in a Bistable Molecular Shuttle
An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis
Self-assembly behavior of β-cyclodextrin and imipramine. A Free energy perturbation study
Electronic structures, stabilities, and spectroscopies of the fullerene derivatives C68X4 (X=H, F, Cl)
Solubilizing Carbon Nanotubes through Noncovalent Functionalization. Insight from the Reversible Wrapping of Alginic Acid around a Single-Walled Carbon Nanotube
Growth Pattern of Truncated Octahedra in AlN(N≤ 310) Clusters
Multiblock partial least squares regression based on wavelet transform for quantitative analysis of near infrared spectra
Multivariate calibration methods in near infrared spectroscopic analysis
Weighted partial least squares regression by variable grouping strategy for multivariate calibration of near infrared spectra
Detecting influential observations by cluster analysis and Monte Carlo cross-validation
Classification of oils by attenuated total reflectance-Fourier transform infrared spectrometry combined with pattern recognition techniques
Resolving multi-component overlapping GC-MS signals by immune algorithms
Dynamic lattice searching methods for optimization of clusters
Structure, Stability, and Thermochemistry of the Fullerene Derivatives C64X6(X = H, F, Cl)
Optimization of bimetallic Cu-Au and Ag-Au clusters by using a modified adaptive immune optimization algorithm
A dynamic lattice searching method with rotation operation for optimization of large clusters
An approach by using near-infrared diffuse reflectance spectroscopy and resin adsorption for the determination of copper, cobalt and nickel ions in dilute solution
A wavelength selection method based on randomization test for near-infrared spectral analysis
Improving the Robustness and Stability of Partial Least Squares Regression for Near-infrared Spectral Analysis
A practical approach for near infrared spectral quantitative analysis of complex samples using partial least squares modeling
Missing publications? Search for publications with a matching author name.